Garbage in - Garbage out - the only reason why Google or Amazon might be best at developing constantly self-improving neural networks for things like speech recognition is because they have an insane amount of data. How are you going to bootstrap that problem? Because your neural networks will be extremely weak in the beginning and the output is probably useless for quite some time. Am I wrong?